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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    INDEX
    Explanations

    mentions of the term "Poor" with various contexts, such as financial or quality-related

    oai_token-act-pair · gpt-3.5-turbo

    references to poor quality or negative ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.76
    ********************************
    -0.73
    Weapon
    -0.71
    caliber
    -0.71
    Arizona
    -0.70
     radioactive
    -0.68
    mos
    -0.68
     cyt
    -0.67
     chrom
    -0.66
    cius
    -0.66
    POSITIVE LOGITS
     Bean
    1.72
     Poor
    1.45
     Fowler
    1.44
     Roberto
    1.42
     Owen
    1.41
     Pau
    1.31
     Stuart
    1.28
     Rooney
    1.25
    riks
    1.24
     Maur
    1.18
    Activations Density 0.035%

    No Known Activations